Improving recommender system navigability through diversification: a case study of IMDb

Daniel Lamprecht; Florian Geigl; Tomas Karas; Simon Walk; Denis Helic; Markus Strohmaier

doi:10.1145/2809563.2809603

Improving recommender system navigability through diversification: a case study of IMDb

Daniel Lamprecht, Florian Geigl, Tomas Karas, Simon Walk, Denis Helic, Markus Strohmaier

Institute of Interactive Systems and Data Science (7060)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	International Conference on Knowledge Management
Publisher	.
Pages	21:1-21:8
DOIs	https://doi.org/10.1145/2809563.2809603
Publication status	Published - 2015

Fields of Expertise

Information, Communication & Computing

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10.1145/2809563.2809603

Improving-recommender-system-navigability-through-diversification-A-case-study-of-IMDb.pdfFinal published version, 1.63 MB

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@inproceedings{8eac7203bd8c4f49ba9c6c5a2f016aa9,

title = "Improving recommender system navigability through diversification: a case study of IMDb",

author = "Daniel Lamprecht and Florian Geigl and Tomas Karas and Simon Walk and Denis Helic and Markus Strohmaier",

year = "2015",

doi = "10.1145/2809563.2809603",

language = "English",

pages = "21:1--21:8",

booktitle = "International Conference on Knowledge Management",

publisher = ".",

}

TY - GEN

T1 - Improving recommender system navigability through diversification: a case study of IMDb

AU - Lamprecht, Daniel

AU - Geigl, Florian

AU - Karas, Tomas

AU - Walk, Simon

AU - Helic, Denis

AU - Strohmaier, Markus

PY - 2015

Y1 - 2015

UR - http://www.daniellamprecht.com/wp-content/uploads/2015/10/Improving-recommender-system-navigability-through-diversification-A-case-study-of-IMDb.pdf

U2 - 10.1145/2809563.2809603

DO - 10.1145/2809563.2809603

M3 - Conference paper

SP - 21:1-21:8

BT - International Conference on Knowledge Management

PB - .

ER -

Improving recommender system navigability through diversification: a case study of IMDb

Fields of Expertise

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